A multiresolution mixture generative adversarial network for video super-resolution

Generative adversarial networks (GANs) have been used to obtain super-resolution (SR) videos that have improved visual perception quality and more coherent details. However, the latest methods perform poorly in areas with dense textures. To better recover the areas with dense textures in video frame...

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Detalles Bibliográficos
Autores principales: Tian, Zhiqiang, Wang, Yudiao, Du, Shaoyi, Lan, Xuguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351143/
https://www.ncbi.nlm.nih.gov/pubmed/32649694
http://dx.doi.org/10.1371/journal.pone.0235352

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351143/
https://www.ncbi.nlm.nih.gov/pubmed/32649694
http://dx.doi.org/10.1371/journal.pone.0235352

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